Is This Linear Algebra Problem Set Correct?

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SUMMARY

This discussion focuses on the correctness of various statements related to linear algebra concepts, particularly concerning vector spaces and their dimensions. Key conclusions include that any linearly independent set of three vectors in R3 forms a basis, while a set of five vectors in R4 does not span R4. Additionally, it is established that a set containing the zero vector is always linearly dependent, and for a vector space V with dimension n, any set of n - 1 vectors cannot be linearly independent. The discussion emphasizes the importance of understanding the definitions of span and linear independence.

PREREQUISITES
  • Understanding of vector spaces and their dimensions
  • Knowledge of linear independence and spanning sets
  • Familiarity with Rn notation and properties
  • Basic concepts of polynomial spaces, specifically Pn
NEXT STEPS
  • Study the concept of linear independence in depth, particularly in Rn
  • Learn about the properties of bases in vector spaces
  • Explore the definition and implications of the span of a set of vectors
  • Investigate polynomial spaces and their dimensional properties, focusing on Pn
USEFUL FOR

Students and educators in mathematics, particularly those studying linear algebra, as well as anyone involved in theoretical computer science or applied mathematics where vector space concepts are relevant.

will
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i did most of them,, u guys are prob experts I am having big probelm with the a few of them
please check my work, thanks
hints please.,

True or False, only True if it is always true
1) Any linearly independent set of three vectors in R^3 is a basis for R^3___true

2) Any set of five vectors in R^4 spans R^4__false

3) Any set of four vectors in R^3 is linearly independent__false

4) the set {(1,0,1),(-5,4,-9),(5,-3,8),(2,-1,3)} spans R^3___

5) the set {x^3 – x + 2, x^2 + x – 2, 3x^3 + 2x^2 + 4x} spans P^3___

6) If a vector space V has a basis S with 7 elements, then any other basis T for V also has

7 elements____true

7) If a set S of vectors in V contains the zero vector, then S is linearly dependent___true

8) If dim(V) = n, then any set of n – 1 vectors in V must be linearly independent___

9) if dim(V) = n, then any set of n + 1 vectors in V must be linearly independent____

10) if dim(V) = n, then there exists a set of n + 1 vectors in V that spans V____
 
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On #4, they'll span R^3 if 3 of them are linearly independent, correct? On most of these true/false about "all vectors in X must be..." choosing all zero vectors usually provides a counterexample. And on 10, if dim(V) = n, the basis for V + 0-vector would provide the example, correct?
 
will said:
5) the set {x^3 – x + 2, x^2 + x – 2, 3x^3 + 2x^2 + 4x} spans P^3___

It is not hard to show that, for a vector space of dimension n, no set with less then n elements can span that vector space.

will said:
8) If dim(V) = n, then any set of n – 1 vectors in V must be linearly independent___

Let V = R^3. Let S = {(1, 0, 0), (2, 0, 0)}. Is S independent?

will said:
10) if dim(V) = n, then there exists a set of n + 1 vectors in V that spans V____

What do you think? What is the exact definition of "span"? Is there any restriction on the number of vectors in this definition?
 

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